SIVOCS

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# SIVOCS
## Preliminary Results of the Survey Analysis
### Utku Demir
### Dietmar Lampert (presenter)
### Klaus Schuch
### 14.12.2021

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# Sample, Respondents & Bias

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* Slight bias towards female participants
* Slight bias towards SSH and Natural Sciences
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# Familiarity with SI and Transdisciplinarity

.right[.small[N={352, 112, 360}]]

* *Experience with transdisciplinary research* and *project's contribution to SI* have relatively similar distributions, over 45 % of respondents rated equal or higher than 7 for each.
* *Familiarity with SI* generally assessed lower, i.e. over 60 % of respondents rated between 0 and 3.

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# *Familiarity with SI* across scientific domains

* *Familiarity with SI* differs across scientific domains (ANOVA test: p &lt; 0.05)
* *Biology and Medicine* and *Math., Natur, and Eng. Sci.* are similar (pairwise t-test: p &gt; 0.05)
* *Humanities and Social Sciences* are significantly different than the others (pairwise t-test with each: p &lt; 0.05)

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# Intention &amp; Agency: Motivation

.right[.small[N = {360, 354, 365}]]

* Most projects (84 %) driven by academic motivation (better understanding a phenomenon),
* followed by 62 % strongly motivated to directly address a problem;
* *Improving the human condition/welfare* more balanced across answer options

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# Intention &amp; Agency &ndash; Impulses from the Non-academic World

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###### *Addressing a specific problem* ...

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###### Direct benefit for the general population or a specific non-academic group
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* *Medical/health* problems followed by *societal* ones are most often mentioned *impulses from the non-acadmic world*
* *Economic* problems least frequently mentioned category (only 29 participants)

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# Transdisciplinary Aspects: Inter-/Transdisciplinary Involvement

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* Interdisciplinary involvement common: researchers from other disciplines quite centrally involved (41 %)
* Transdisciplinary involvement
  + not as central but noteworthy for fundamental research projects
  + similar across different groups in terms of extent and depth of involvement (*marginal* / *central*)

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# Transdisciplinary Aspects: Nature of Involvement

.right[.small[N={74, 80, 82, 51, 94, 114}]]

* Transdisciplinary involvement mostly *consultative* or *contributory* in nature.
* *Collaborative* processes more likely in projects where *welfare-/education providing institutions* or *company/ business representatives* are relevant

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# Transdisciplinary Aspects: Target Group Goals

##### *Your project has..*

* *Empowering people* most frequently selected (170) category among goals for target group
* *Enabling diversity and exchange of different perspectives* second most freqeuntly selected (151)
* *Worked towards improving people lives* least selected category (167)

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# Regulatory Framework: Open Science Concepts

###### Norms, requirements, practices applicable to research projects

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* *Open access to publications* most frequently selected category (326 times),
* followed by *open access to data* (234 times)

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# Regulatory Framework: Gender Dimension & Support for Policy-Making

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###### Explicit consideration of gender in research

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* Vast majority of participants (275) stated *gender* was no explicit consideration in their project

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###### Aim: support of evidence-based policy-making
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* ~ a third of projects aimed at supporting evidence-based policy-making

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# Outcome-orientation: Direct Contribution

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* A tiny minority directly contributed to *new or better services, products, or processes* for civil society organisations
* However, 18 % of respondents stated to have strongly contributed to benefit the general population

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# Outcome-orientation: Intended Effects

###### Intended short- or long-term change benefiting specific target groups or the general population:

* Improving the *understanding* in the general population as well as raising the *awareness* by far the most frequently selected category (79 and 50 times)
* *Changing behaviour* most frequently stated for policy-makers/public administrators

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# Outcome-orientation: Uptake by Decision-Makers

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###### *To what extent were project results taken up by policy-making and/or public administration and/or governmental agencies?*

*  ~ 20 % rated the *uptake of the project results by decision-makers* moderate to high

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###### In what way were those results taken up by policy-making and/or public administration and/or governmental agencies?

* 9 projects claimed to have influenced *specific laws or regulations*
* 53 projects stated to have changed a *policy or agenda*
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# Outcome-orientation: Impact Statements

.right[.small[N = {328, 302, 286, 290, 273, 272}]]

* Academic dimension most frequently chosen,
* followed by *issues not widely known in society* and *generate a deeper understanding of a specific social issues*.

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# Dissemination and Exploitation: Dissemination Channels

<img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-31-1.svg" width="1152" />
* Unsurprisingly, the vast majority published in peer-reviewed journals
* Policy briefs were rated lowest but 110 projects stated to have organised events for non-academic practitioners

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# Dissemination and Exploitation: Scalability

.right[.small[N = {172, 149, 140}]]

* 69 % of the respondents were confident of the scaling-up potential of the project results

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# Further steps

##### Ongoing tasks

* Dimension reduction; factor analysis, PCA ....
* Statistical analysis of relationships between variables, correlation analysis.
* Linear and logistic regression models.

##### Outlook

* Build statistical models to predict "degree" of SI
* Compile analytical results of survey into a report (part of the final report)
* Ideally: test with more quantitative data
* Publish results in scientific journal

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### Many thanks for your attention! 
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Contact information:
* Utku Demir <demir@zsi.at>
* Dietmar Lampert <lampert@zsi.at> (presenter)
* Klaus Schuch <schuch@zsi.at>

ZSI - Centre for Social Innovation - https://zsi.at/en